What We Do

Data Analytics

Data Analytics

At Comprehensive, we turn data into actionable insight—because better decisions start with better understanding. By harnessing the power of data analytics, we uncover patterns that improve patient outcomes, streamline operations, and support smarter, more responsive care. In an industry where every detail matters, our data-driven approach helps us stay ahead—delivering innovation, efficiency, and exceptional experiences at every step.

Informed Decision Making

Data analytics enables organizations to base their decisions on evidence rather than intuition. By analyzing historical data and current trends, businesses can predict outcomes, assess risks, and devise strategies that align with their goals.

We believe smarter decisions lead to better care. Novus360’s data analytics can turn information into insight—enabling evidence-based decisions that go beyond intuition. Through the analysis of historical data and current trends, we can anticipate outcomes, assess risks, and craft strategies that align with delivering better outcomes

Improved Operational Efficiency

By identifying inefficiencies in workflows, our data analytics can help organizations optimize processes, reduce costs, and enhance productivity.

We harness the power of data analytics to help streamline operational efficiency by automating routine administrative tasks such as eligibility validation, claims processing, and enrollment tracking with the goal of reducing manual work and minimizing errors.

Enhanced Customer Insights

Data analytics provides a deeper understanding of customer behavior, preferences, and needs. This insight allows businesses to personalize marketing campaigns, improve customer service, and develop products that resonate with their target audience.

At Comprehensive, data analytics is more than just numbers—our analytics help improve operational efficiency, cost control, targeted member communication, process automation, quality & accuracy, and utilization insights, and optimization.

Risk Management

Novus360 analytics can play a critical role in risk management for both benefit and pension administration by enhancing decision-making improving financial control, detecting fraud, predicting risks, ensuring compliance, and optimizing resource allocation.

We harness the power of data analytics not just to improve outcomes—but to anticipate challenges before they arise. Providing accurate plan design, regulatory compliance, and targeted member communication & engagement allows our clients to customize health programs addressing high-risk cohorts which can lower aggregate claims and improve population health outcomes.

Driving Innovation

Novus360 analytics help drive innovation by enabling organizations to make smarter, more personalized, and cost-effective decisions, while also improving plan design, engagement, and efficiency.

We believe analytics empower organizations to reimagine the way healthcare benefits and pensions are managed, focusing on value, user experience and long-term sustainability while stimulating ongoing operational and product innovation.

Types of Data Analytics:

Healthcare benefits administration has been transformed by the integration of data analytics and reporting, offering numerous advantages for employers, employees, and healthcare providers. This powerful combination enables more informed decision-making, cost optimization, and improved health outcomes.

At Comprehensive Healthcare, data analytics and reporting are transforming the way healthcare benefits are administered. By harnessing the power of data, we help employers, employees, and providers make smarter decisions, reduce costs, and improve health outcomes. It’s a smarter, more strategic approach to healthcare—driven by insight, powered by innovation.

Comprehensive Healthcare Systems Inc.

Data Analytics

Data Analytics

Descriptive Analytics:
Focuses on summarizing historical data to understand what has happened in the past.

Diagnostic Analytics:
Examines data to determine the root causes of specific outcomes or events.

Predictive Analytics:
Uses statistical models and machine learning to forecast future trends and behaviors.

Prescriptive Analytics:
Provides recommendations for actions to achieve desired outcomes based on data insights.

Descriptive Analytics:
Summarizes past data to show what happened.

Diagnostic Analytics:
Analyzes data to explain why something happened.

Predictive Analytics:
Uses models and AI to forecast what might happen next.

Prescriptive Analytics:
Recommends actions to achieve the best possible outcomes.